Developing predictive precision medicine models by exploiting real-world data using machine learning methods-Reference-Cited by-同舟云学术

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Developing predictive precision medicine models by exploiting real-world data using machine learning methods

Published:2024-02-13 Issue: Volume: Page:1-24
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Theocharopoulos Panagiotis C.¹²^ORCID,Bersimis Sotiris³,Georgakopoulos Spiros V.⁴,Karaminas Antonis³⁵,Tasoulis Sotiris K.¹,Plagianakos Vassilis P.¹

Affiliation:

1. Deparement of Computer Science & Biomedical Informatics, University of Thessaly, Lamia, Greece

2. Covariance P.C., Athens, Greece

3. Department of Business Administration, University of Piraeus, Piraeus, Greece

4. Department of Mathematics, University of Thessaly, Lamia, Greece

5. Innovative Medical Research – IMR SA, Athens, Greece

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2024.2315451

Reference46 articles.

1. Dwarf Mongoose Optimization Algorithm

2. Gazelle optimization algorithm: A novel nature-inspired metaheuristic optimizer;Agushaka J.O.;Neural. Comput. Appl.,2023

3. A critical review for developing accurate and dynamic predictive models using machine learning methods in medicine and health care;Alanazi H.O.;J. Med Syst.,2017

4. Bayesian networks for risk prediction using real-world data: A tool for precision medicine;Arora P.;Value Health.,2019

5. Towards precision medicine

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